文献类型： 会议论文

第一作者： Pooja Vishwakarma

作者： Pooja Vishwakarma ¹ ; Pinaki Ghosh ¹ ;

作者机构： 1.School of Advanced Computing, Sanjeev Agrawal Global Educational University (SAGE), Bhopal, India

关键词： Performance evaluation;Cloud computing;Smart cities;Prototypes;Computer architecture;Data processing;Internet of Things

会议名称： IEEE International Conference on Computer Vision and Machine Intelligence

主办单位：

页码： 1-8

摘要： The Internet of Things (IoT) / Web of Things (WoT) presents numerous advantages for the development of intelligent cities. With the help of a vast array of diverse IoT devices, these cities can collect a tremendous amount of data, opening up opportunities for advanced analysis and insights. Given the diversity of information sources in smart cities, processing these data and extracting meaningful insights for decision-makers is a significant hurdle. While the conventional cloud computing paradigm offers substantial computing and storage capabilities for this purpose, it necessitates transferring all data from user endpoint edge equipment to the cloud, thereby causing considerable latency. Our study aims to mitigate the latency issue in data processing by utilizing the edge computing technique. Since a significant amount of data originates from user endpoint devices, handling the data at the edge can enhance overall performance. Our findings reveal that conducting raw IoT data processing at the edge devices yields a seamless situational awareness for smart city decision-makers while minimizing latency.

分类号： tp391.41-53